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一种利用混合模型研究基因与疾病间关联的方法
  • ISSN号：1000-1832
  • 期刊名称：《东北师大学报：自然科学版》
  • 时间：0
  • 分类：O212[理学—概率论与数理统计;理学—数学]
  • 作者机构：[1]东北大学理学院,辽宁沈阳110004, [2]东北师范大学数学与统计学院,吉林长春130024
  • 相关基金：国家自然科学基金资助重点项目（10431010）.
作者： 车平[1,2]
关键词： 混合模型, 关联, 混杂, 病例-对照研究, EM算法, mixture models , association, confounding, case-control study, EM algorithm
中文摘要：

给出了将多位点基因型信息作为混杂因子的协变量，利用混合模型讨论在病例一对照研究中，当被研究群体中存在着分层现象时，被研究基因与疾病之间关联的一种新的方法．在子群体内部满足Hardy-Weinberg平衡时，此方法充分地利用已知信息，用基因标识物将群体分层，并估计出被研究基因与疾病之间的关联性，同时还考虑了多位点基因型数据有缺失的情况．

英文摘要：

This paper takes the multi-locus genotype data as the co-variable to the confounder and proposes a new approach using mixture models to detect the association between a candidate gene and a disease,while there is substructure in the population in a case-control study. The proposed approach makes full use of the available information and stratifies the population using genetic markers while considering that Hardy-Weinberg equilibrium holds in each subpopulation.

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生物医学中的统计方法研究
期刊论文 100 会议论文 13 获奖 16 著作 5
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期刊信息
  • 《东北师大学报：自然科学版》
  • 北大核心期刊（2011版）
  • 主管单位:教育部
  • 主办单位:东北师范大学
  • 主编：刘宝
  • 地址：长春市净月大街2555号
  • 邮编：130117
  • 邮箱：dslkxb@nenu.edu.cn
  • 电话：0431-89165992
  • 国际标准刊号：ISSN：1000-1832
  • 国内统一刊号：ISSN：22-1123/N
  • 邮发代号:12-43
  • 获奖情况:
  • 中文综合性科学技术类核心期刊,中国科学引文数据库来源期刊,中国科技论文统计源期刊,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,美国数学评论（网络版）,德国数学文摘,美国生物科学数据库,英国动物学记录,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:7830